What is torch.randn?

torch.randn is a method in the PyTorch library that generates random numbers from a normal distribution. The method takes in an argument shape and returns a tensor with the specified shape, containing random numbers from a normal distribution with mean 0 and standard deviation 1. The method generates random numbers using the Box–Muller transform.

This method can be used for initializing the weights of neural networks, creating synthetic data sets for testing, or any other application that requires random numbers from a normal distribution. Additionally, torch.randn can be used in conjunction with other PyTorch tensor operations to create more complex data structures.